Data Engineer
Job Location:
Riyadh - Saudi Arabia
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
At Capgemini Engineering the world leader in engineering services we bring together a global team of engineers scientists and architects to help the worlds mostinnovative companies unleash their potential. From autonomous cars to life-saving robots our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same.
We are looking for a skilled and detail-oriented Data Engineer to design build and maintain scalable data pipelines and infrastructure. The ideal candidate will ensure the efficient flow of data across systems to support analytics and business intelligence in manufacturing operations.
You will be accountable for:
- Designing developing and maintaining robust ETL/ELT pipelines for data ingestion and transformation.
- Optimizing data storage and retrieval for performance and scalability.
- Ensuring data quality integrity and security across systems.
- Collaborating with data scientists analysts and IT teams to support data needs.
- Implementing and managing data architecture and infrastructure on cloud or on-prem platforms.
- Monitoring and troubleshooting data pipeline issues and system performance.
- Maintaining documentation of data flows schemas and system configurations.
- Supporting real-time data processing and integration with IoT and manufacturing systems.
- Bachelors or Masters degree in Computer Science Information Systems or a related field.
- 25 years of experience in data engineering or software development preferably in manufacturing.
- Proficiency in SQL Python and data pipeline tools (e.g. Apache Airflow Talend).
- Experience with cloud data platforms (e.g. Azure Data Factory AWS Glue GCP Dataflow).
- Knowledge of data warehousing solutions (e.g. Snowflake Redshift BigQuery).
- Familiarity with big data technologies (e.g. Hadoop Spark) and real-time streaming (e.g. Kafka).
- Strong understanding of data modeling database design and system integration.
- Excellent collaboration and communication skills.
Flexible Work ArrangementsWork remotely or adjust work hours for a balanced lifestyle.
Career Growth OpportunitiesAccess diverse roles and career development programs.
Training & CertificationsEquip yourself with valuable certifications in emerging technologies.
Capgemini is a global business and technology transformation partner helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340000 team members in more than 50 countries. With its strong over 55-year heritage Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering all fueled by its market leading capabilities in AI generative AI cloud and data combined with its deep industry expertise and partner ecosystem.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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